Detección de fallos y SVM basado en localización para líneas de transmisión trifásicas que utilizan componentes de fallo de secuencia positiva.
DOI:
https://doi.org/10.15649/2346030X.3302Palabras clave:
identificación de averías, clasificación de fallas, máquina de vectores de apoyo (SVM), analizador de secuencias positivas, líneas de transporte, detección de fallos eléctricosResumen
Las líneas de transmisión son un elemento imprescindible de los sistemas eléctricos modernos. Cualquier fallo en ellas puede provocar una interrupción indeseada del suministro eléctrico. El análisis preciso de estos fallos es importante para garantizar un suministro incesante de energía. Para ello, es necesario detectar y clasificar los fallos para eliminarlos y restablecer el funcionamiento normal del sistema. En este trabajo se ha adoptado un novedoso enfoque integrado de relés de protección con un algoritmo mejorado de máquinas de vectores soporte para detectar fallos y estimar su localización en líneas de transmisión largas. El esquema propuesto es capaz de detectar y clasificar con éxito diferentes faltas simétricas y asimétricas junto con algunos casos peculiares relacionados con faltas de alta impedancia (HIF) y faltas evolutivas, saturación del transformador de corriente (TC)/transitorio del transformador de tensión capacitivo (CVT), faltas cercanas, condición de oscilación, variación de la intensidad de la fuente, etc. El análisis comparativo con las últimas técnicas propuestas demuestra la potencialidad y robustez del sistema.
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